Bengaluru, Karnataka
Job Summary

Job Description: Azure AI Foundry – AI Developer (Agentic Systems)

Role Summary

We are seeking a hands-on AI Developer to build enterprise-grade multi-agent systems using Azure AI Foundry and Microsoft Agent Framework, with integration across cloud services, APIs, and DevOps pipelines. The role involves developing production-ready AI agents leveraging tools, memory, MCP integration, and workflow orchestration.

Key Responsibilities

Key Responsibilities

Develop AI applications using Azure AI Foundry (code-first approach)
Build AI solutions using Python and/or TypeScript SDKs, integrating Foundry models, tools, and APIs.
Design and implement multi-agent systems using Microsoft Agent Framework (MAF)
Build agents and multi-agent workflows (sequential, parallel, and collaborative orchestration) using Agent Framework capabilities.
Build SDK-agnostic agent architectures
Develop solutions using MAF along with frameworks like LangGraph, AutoGen, CrewAI, ensuring portability and extensibility across ecosystems.
Implement orchestration and workflow execution logic
Design graph/state-based workflows with task routing, retries, checkpointing, and human-in-the-loop approval flows.
Develop MCP-based tool integration layer
Integrate external systems and APIs using Model Context Protocol (MCP) for standardized, secure tool access and orchestration.
Design agent memory and state management
Implement short-term and long-term memory using Foundry memory stores for persistent context, personalization, and cross-session continuity.
Build and manage agent tools, skills, and capabilities
Develop reusable tools, agent skills, and function interfaces (e.g., search, file access, APIs, automation)



to support agent reasoning and action execution.
Develop RAG and knowledge grounding pipelines
Integrate enterprise data sources using vector search and grounding (Azure AI Search, documents, APIs) to improve agent accuracy and contextual reasoning.
Implement observability, debugging, and telemetry
Track agent workflows, tool usage, and decision flows using structured logging and monitoring for debugging and optimization.
Write scalable, production-grade AI systems (mandatory)
Develop modular, secure backend services using Python/TypeScript, ensuring API design, performance, and integration with Azure services and DevOps pipelines.
Skill Requirements

Primary Skill: Azure AI Foundry, Microsoft Agent Framework (MAF), Python/TypeScript, Azure AI Search, Multi-Agent Systems

Relevant Experience: Minimum 2–4 years in AI/GenAI development, with hands-on experience in LLMs, RAG, or Agent-based frameworks

Other Requirements

Mandatory Skills

Solid coding in Python and/or TypeScript

Hands-on experience with:
Azure AI Foundry / Azure OpenAI
Microsoft Agent Framework (MAF)
Multi-agent frameworks (LangGraph, AutoGen, CrewAI)

Experience with:
MCP / API integrations
Memory and agent state management
RAG (vector search, embeddings)

One-line Hiring Filter

Must have hands-on experience building production AI systems using Python/TypeScript, including multi-agent orchestration, MCP/tool integrations, memory design, RAG pipelines, and API/tool integrations and workflow-based agent execution using Azure AI Foundry or similar platforms.

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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India